Lakshmi

Machine Learning-Based Detection of Parkinson’s Disease: A Comparative Study of Classifiers on Clinical Voice Data

This project investigates the efficiency of using machine learning algorithms in classifying Parkinson’s disease based on voice recordings by comparing four prominent classifiers - Support Vector Machine, Random Forest, Logistic Regression, and K-Nearest Neighbors - to determine which provides the most reliable early d...